Biography

Can Xu is a PhD Candidate at TRAIL. Her current focus centers on building expressive spatial representations, such as dynamic scene graphs. A major goal of her work is advancing human-robot interaction empowering robots to deeply comprehend human instructions and underlying intentions for seamless collaboration. Prior to this, she received her MSc in ECE at Carnegie Mellon University in the AirLab. Before that, she earned received her Bachelor’s degree  in ECE from Beijing Forestry University.

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